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Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 10
3183-3188

Research on student behavior recognition based on improved OpenPose

Su Chao
Wang Guozhong
School of Electronic & Electrical Engineering, Shanghai University of Engineering & Science, Shanghai 201600, China
DOI: 10.19734/j.issn.1001-3695.2020.11.0435

Abstract

The learner's behavior can reflect the learner's learning state to a certain extent. Traditional learner behavior re-cognition methods have problems such as low real-time performance and low accuracy. Aiming at the above problems, this paper proposed a learner behavior recognition method based on improved OpenPose. This method was considered from the point of view of human bone joints. Firstly, it removed the Gaussian noise in the image through Gaussian filtering, and then detected the target student position in the image through the target detection algorithm integrated into the attention mechanism, and then extracted human bone joint point coordinates from the detected image through the improved OpenPose model, and finally used the ST-SVM to classify the acquired joint point coordinates to quickly and accurately identify the learner's behavior state. The experimental results show that the method can quickly and accurately recognize the student's actions, the accuracy rate is over 99%, and the fps is over 20. Compared with the original model, the fps is improved by 50%.

Foundation Support

国家重点研发计划资助项目(2019YFB1802700)
上海工程技术大学研究生创新计划资助项目(19KY0232)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.11.0435
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 10
Section: Technology of Graphic & Image
Pages: 3183-3188
Serial Number: 1001-3695(2021)10-054-3183-06

Publish History

[2021-10-05] Printed Article

Cite This Article

苏超, 王国中. 基于改进OpenPose的学生行为识别研究 [J]. 计算机应用研究, 2021, 38 (10): 3183-3188. (Su Chao, Wang Guozhong. Research on student behavior recognition based on improved OpenPose [J]. Application Research of Computers, 2021, 38 (10): 3183-3188. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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